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Theorem 5.5 -- the lazy walk on the torus mixes in order n2n^2n2

Proved
MarkovMixing.torus_mixing

by Shuze Chen · Aug 21, 2026 · Mathlib 0df444a (Lean v4.33.1)

markov-chainsmixing-timesprobability

The ddd-dimensional discrete torus Znd\mathbb Z_n^dZnd​ is the graph whose vertices are the ddd-tuples of residues mod nnn, two vertices being adjacent when they agree in all coordinates but one and differ by ±1(modn)\pm1\pmod n±1(modn) there. The lazy random walk on it stays put with probability 12\tfrac1221​ and otherwise moves to a uniformly chosen neighbour; its stationary distribution is uniform. For a tolerance ε\varepsilonε, the mixing time tmix(ε)t_{\mathrm{mix}}(\varepsilon)tmix​(ε) is the first time ttt at which max⁡x∥Pt(x,⋅)−π∥TV≤ε\max_x\|P^t(x,\cdot)-\pi\|_{TV}\le\varepsilonmaxx​∥Pt(x,⋅)−π∥TV​≤ε, where ∥μ−ν∥TV=max⁡A∣μ(A)−ν(A)∣\|\mu-\nu\|_{TV}=\max_A|\mu(A)-\nu(A)|∥μ−ν∥TV​=maxA​∣μ(A)−ν(A)∣ is the total variation distance.

The theorem (Theorem 5.5 of Levin–Peres–Wilmer) asserts: for every dimension d≥1d\ge1d≥1 there is a constant c=c(d)>0c=c(d)>0c=c(d)>0, depending only on ddd, such that for every side length n≥2n\ge2n≥2 and every tolerance 0<ε≤120<\varepsilon\le\tfrac120<ε≤21​,

tmix(ε)  ≤  c n2 log⁡2ε−1.t_{\mathrm{mix}}(\varepsilon)\;\le\;c\,n^2\,\log_2\varepsilon^{-1}.tmix​(ε)≤cn2log2​ε−1.

The walk on the torus mixes in order n2n^2n2 steps, uniformly in the side length — proved in the book by a coordinatewise coupling.

Preamble
import Definitions.Def_mm_coupling
import Mathlib.Analysis.SpecialFunctions.Log.Base
Formal statement
namespace MarkovMixing

/-- **Theorem 5.5** (LPW): the lazy random walk on the `d`-dimensional torus
`ℤ_n^d` satisfies `t_mix(ε) ≤ c(d) n² log₂(ε⁻¹)` for a constant `c(d)`
depending only on the dimension `d`. -/
theorem torus_mixing (d : ℕ) (hd : 0 < d) :
    ∃ c : ℝ, 0 < c ∧ ∀ (n : ℕ) [NeZero n], 2 ≤ n → ∀ ε : ℝ, 0 < ε → ε ≤ 1 / 2 →
      (mixingTime (lazy (graphWalk (torusGraph d n)))
          (uniformDist (Fin d → ZMod n)) ε : ℝ) ≤
        c * n ^ 2 * Real.logb 2 ε⁻¹ := by
  sorry

end MarkovMixing
Source
D. A. Levin, Y. Peres, E. L. Wilmer, Markov Chains and Mixing Times, AMS 2009, https://documents.epfl.ch/groups/i/ip/ipg/www/2013-2014/Random_Walks/markovmixing.pdf, Section 5.3.2, Theorem 5.5, pp. 65-66

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